Suppr超能文献

从叶提取物中筛选抗炎植物化合物及其通过建模进行验证。

Screening of anti-inflammatory phytocompounds from leaf extracts and its validation by modeling.

作者信息

Thirumalaisamy Rathinavel, Ammashi Subramanian, Muthusamy Govarthanan

机构信息

Department of Biotechnology, Mahendra Arts & Science College (Autonomous), Namakkal 637 501, Tamil Nadu, India.

Department of Biochemistry, Rajah Serfoji Government College (Autonomous), Thanjavur 613 005, Tamil Nadu, India.

出版信息

J Genet Eng Biotechnol. 2018 Dec;16(2):711-719. doi: 10.1016/j.jgeb.2018.03.004. Epub 2018 Mar 23.

Abstract

Anti-inflammatory phytocompounds from DC leaf extracts were identified by GCMS analysis and its anti-inflammatory potential was evaluated by molecular docking study against inflammatory molecular targets. Three different (Aqueous, Methanol and Petroleum ether) dried leaf extracts of were obtained from soxhlet extraction method. Preliminary phytoconstituents analysis of three different leaf extracts of confirmed the presence of various major classes of bioactive phytoconstituents such as polyphenols (tannins and flavonoids), steroids, alkaloid, coumarin, carbohydrate and terpenoids Among three leaf extracts, methanolic leaf extract possess highest total phenolic content of 77 ± 1.65 µg gallic acid equivalent (GAE)/g of dry weight of leaf extract, subsequently methanolic leaf extract also shows maximal antioxidant activity (DPPH scavenging activity) of 71.22 ± 1.32% among three different leaf extracts. GC-MS analysis of petroleum ether leaf extract revealed the presence of nine phytocompounds representing 95.43% peak area percentage, among nine identified phytocompounds three phytocompounds of possess anti-inflammatory property namely phytol, 1-Hexyl-2-Nitrohexane and 2-Isopropyl-5-Methylcyclohexyl 3-(1-(4-Chlorophenyl)-3-Oxobutyl)-Coumarin-4-Yl Carbonate were chosen for molecular docking study against four inflammatory receptor targets (COX-2, TNFα, IL-1β and IL-6) and they shows less binding energy with highest docking score ranging from -15.9500 to 5.0869. The present study substantially indicated and proven that anti-inflammatory potential of phytocompounds from leaf extracts which can be exploited for commercial designing of novel anti-inflammatory drug to treat various inflammatory disorders.

摘要

通过气相色谱 - 质谱联用(GCMS)分析鉴定了DC叶提取物中的抗炎植物化合物,并通过针对炎症分子靶点的分子对接研究评估了其抗炎潜力。采用索氏提取法获得了三种不同的(水、甲醇和石油醚)干叶提取物。对三种不同叶提取物的初步植物成分分析证实,存在各种主要类别的生物活性植物成分,如多酚(单宁和黄酮类化合物)、类固醇、生物碱、香豆素、碳水化合物和萜类化合物。在三种叶提取物中,甲醇叶提取物的总酚含量最高,为77±1.65μg没食子酸当量(GAE)/g叶提取物干重,随后甲醇叶提取物在三种不同叶提取物中也显示出最大的抗氧化活性(DPPH清除活性),为71.22±1.32%。石油醚叶提取物的GC - MS分析显示存在九种植物化合物,占峰面积百分比的95.43%,在九种鉴定出的植物化合物中,选择三种具有抗炎特性的植物化合物,即叶绿醇、1 - 己基 - 2 - 硝基己烷和2 - 异丙基 - 5 - 甲基环己基3 - (1 - (4 - 氯苯基) - 3 - 氧代丁基) - 香豆素 - 4 - 基碳酸酯,针对四种炎症受体靶点(COX - 2、TNFα、IL - 1β和IL - 6)进行分子对接研究,它们显示出较低的结合能,最高对接分数范围为 - 15.9500至5.0869。本研究充分表明并证明了DC叶提取物中植物化合物的抗炎潜力,可用于新型抗炎药物的商业设计,以治疗各种炎症性疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5e6/6354007/7bd2a5e2ac59/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验